2023
DOI: 10.7717/peerj-cs.1173
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Application of deep learning for bronchial asthma diagnostics using respiratory sound recordings

Abstract: Methods of computer-assisted diagnostics that utilize deep learning techniques on recordings of respiratory sounds have been developed to diagnose bronchial asthma. In the course of the study an anonymous database containing audio files of respiratory sound recordings of patients suffering from different respiratory diseases and healthy volunteers has been accumulated and used to train the software and control its operation. The database consists of 1,238 records of respiratory sounds of patients and 133 recor… Show more

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Cited by 6 publications
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“… 48 Recently, several researches using symptoms or physical signs in addition to objective tests, or utilizing recorded lung sounds have also been published. 41 49 The ML could further facilitate for building a relevant operational definition in big data studies. 50 The current and near-future applications of ML and AI may improve diagnosis and management of asthma.…”
Section: Discussionmentioning
confidence: 99%
“… 48 Recently, several researches using symptoms or physical signs in addition to objective tests, or utilizing recorded lung sounds have also been published. 41 49 The ML could further facilitate for building a relevant operational definition in big data studies. 50 The current and near-future applications of ML and AI may improve diagnosis and management of asthma.…”
Section: Discussionmentioning
confidence: 99%